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<h3 id="1-%E8%8E%B7%E5%8F%96canvas%E5%8E%9F%E5%A7%8B%E5%86%85%E5%AE%B9">1. 获取canvas原始内容</h3>
<pre class="hljs"><code><div><span class="hljs-keyword">import</span> base64
<span class="hljs-keyword">from</span> io <span class="hljs-keyword">import</span> BytesIO
<span class="hljs-keyword">from</span> PIL <span class="hljs-keyword">import</span> Image
<span class="hljs-keyword">from</span> pathlib <span class="hljs-keyword">import</span> Path

script=<span class="hljs-string">"""
function read_canvas(){
    var canvas = document.getElementsByTagName("canvas");
    var data=canvas[0].toDataURL();
    return data
}
return read_canvas();
"""</span>
data = driver.execute_script(script)
data = data.replace(<span class="hljs-string">"data:image/png;base64,"</span>,<span class="hljs-string">""</span>)
image_data = base64.b64decode(data)
image_stream = BytesIO(image_data)
image = Image.open(image_stream)
<span class="hljs-comment">#文件名称和目录  自定义</span>
filename = Path(folder)/<span class="hljs-string">f"<span class="hljs-subst">{int(time.time())}</span>.png"</span>
image.save(filename.as_posix(), <span class="hljs-string">"PNG"</span>)

</div></code></pre>
<h3 id="2-%E8%B0%83%E7%94%A8%E8%AF%86%E5%88%AB%E6%8E%A5%E5%8F%A3%E8%BF%94%E5%9B%9E%E5%B0%8F%E9%98%9F%E4%BD%8D%E7%BD%AE">2. 调用识别接口返回小队位置</h3>
<pre class="hljs"><code><div><span class="hljs-keyword">import</span> json
<span class="hljs-keyword">import</span> time
<span class="hljs-keyword">import</span> requests
<span class="hljs-keyword">import</span> base64
<span class="hljs-class"><span class="hljs-keyword">class</span> <span class="hljs-title">YdmVerify</span><span class="hljs-params">(object)</span>:</span>
    _custom_url = <span class="hljs-string">"http://api.jfbym.com/api/YmServer/customApi"</span>
    _token = <span class="hljs-string">"hdSD9+Febt1Z56Cd0cQYVoqOafo2aKKJ0QVe30kn70A"</span>
    _headers = {
        <span class="hljs-string">'Content-Type'</span>: <span class="hljs-string">'application/json'</span>
    }
    <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">click_verify</span><span class="hljs-params">(self, image, label_image=None, extra=None, verify_type=<span class="hljs-string">"30100"</span>)</span>:</span>
        payload = {
            <span class="hljs-string">"image"</span>: base64.b64encode(image).decode(),
            <span class="hljs-comment"># "label_image": base64.b64encode(label_image).decode(),</span>
            <span class="hljs-string">"token"</span>: self._token,
            <span class="hljs-string">"type"</span>: verify_type
        }
        <span class="hljs-keyword">if</span> extra:
            payload[<span class="hljs-string">'extra'</span>] = extra
        resp = requests.post(self._custom_url, headers=self._headers, data=json.dumps(payload))
        <span class="hljs-keyword">return</span> resp.json()[<span class="hljs-string">'data'</span>][<span class="hljs-string">'data'</span>]

<span class="hljs-keyword">if</span> __name__ == <span class="hljs-string">'__main__'</span>:
    filename=<span class="hljs-string">"第一步的canvas图片"</span>
    words=<span class="hljs-string">"匝,凰,伺"</span><span class="hljs-comment">#先选的文字，用‘,’分隔开</span>
    y = YdmVerify()
    data = y.click_verify(open(filename,<span class="hljs-string">'rb'</span>).read(), verify_type=<span class="hljs-number">300010</span>,extra=words)
    <span class="hljs-comment">#data："107,82|65,44|145,105|117,28"  多个点选坐标用|分隔开</span>
    print(data)
    
</div></code></pre>

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